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ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28
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Two planes in F3 whose sum is F3 and whose intersection is a line, computed explicitly

Example

Let F be a field (Field) and let F3 be the vector space of functions 3→F with the pointwise operations (The vector space FX of all functions X→F with pointwise operations, and Fn as the case X=n={0,1,…,n−1}), where 3={0,1,2}, so an element is x=(x0,x1,x2) indexed from 0. Let e1∈F3 have coordinates (0F,1F,0F) and put

U  :=  { x∈F3:x2=0F },W  :=  { x∈F3:x0=0F }.

Then:

  1. U and W are linear subspaces of F3 (Linear subspace of a vector space);
  2. U+W=F3 (The sum U+W of two linear subspaces and the sum ∑i<nUi of a finite family), a decomposition of x being x=(x0,x1,0F)+(0F,0F,x2);
  3. U∩W={ x∈F3:x0=0F and x2=0F }=span⁡{e1};
  4. the sum is not direct: it is not the case that F3=U⊕W, because U∩W≠{0V}.

U and W are called planes and U∩W a line, informally and by analogy only; dimension is not available at this point in the library and nothing below uses it.

Facts & Assumptions

Given: A field F, the vector space F3 with pointwise operations, the vector e1, and the sets U and W as displayed.

[L1]

F3 is the vector space of functions 3→F with (x+y)i=xi+yi and (λx)i=λxi, where 3={0,1,2}; its zero vector has all three coordinates 0F; and two elements are equal exactly when all three coordinates agree (The vector space FX of all functions X→F with pointwise operations, and Fn as the case X=n={0,1,…,n−1}, Vector space over a field, The natural numbers N (von Neumann), On N the order is membership: m<n  ⟺  m∈n).

[L2]

One-step test: a nonempty T⊆V with λu+v∈T for all λ∈F and u,v∈T is a linear subspace (One-step subspace test: a nonempty W⊆V is a linear subspace if and only if λu+v∈W for all λ∈F and u,v∈W, Linear subspace of a vector space).

[L3]

The intersection of a nonempty family of linear subspaces is a linear subspace (The intersection of a nonempty family of linear subspaces of V is a linear subspace of V).

[L4]

U+W={ u+w:u∈U, w∈W }, and it is a linear subspace (The sum U+W of two linear subspaces and the sum ∑i<nUi of a finite family).

[L6]

For two summands, F3=U⊕W requires U+W=F3 and U∩W={0V} (Internal direct sum V=⨁i<nUi: the sum is everything and each summand meets the sum of the others only in 0V).

[L7]

In a field: 1F≠0F; λ1F=λ; 0Fλ=0F (Multiplication by zero: 0⋅a=0) and multiplication is commutative, so λ0F=0F; and 0F is the additive identity (Field).

Verification

technique · direct
1.1

F3 is the set of functions 3→F with coordinatewise operations, and e1 has coordinates (0F,1F,0F), so e1∈F3.

L1L7
1.2

U is a linear subspace: it contains the zero vector, whose coordinate at index 2 is 0F, so it is nonempty; and for λ∈F and u,v∈U the vector λu+v has (λu+v)2=λu2+v2=λ0F+0F=0F, so it lies in U. The same argument at index 0 shows W is a linear subspace.

L1L2L7
1.3

U∩W={ x∈F3:x0=0F and x2=0F }, directly from the two defining conditions.

L1
1.4

The scalar multiples of e1 are exactly the vectors with coordinates (0F,λ,0F): (λe1)0=λ0F=0F, (λe1)1=λ1F=λ and (λe1)2=λ0F=0F. Conversely a vector x with x0=x2=0F agrees with x1e1 at all three indices, so x=x1e1.

L1L7
2.1

Claim 1 is step 1.2.

step 1.2L2
2.2

Claim 3: by steps 1.3 and 1.4 the intersection U∩W is exactly { λe1:λ∈F }, which is span⁡{e1}; it is a linear subspace, being an intersection of two of them.

step 1.3step 1.4L3L5
2.3

Claim 2: given x∈F3, put u:=(x0,x1,0F) and w:=(0F,0F,x2). Then u∈U and w∈W by step 1.2, and u+w has coordinates (x0+0F,  x1+0F,  0F+x2)=(x0,x1,x2), so u+w=x. Hence F3⊆U+W, and the reverse inclusion holds because U+W is a subset of F3.

step 1.2L1L4L7
3.1

Claim 4: e1∈U∩W by step 2.2, and e1≠0V because its coordinate at index 1 is 1F≠0F; so U∩W≠{0V} and the condition for a direct sum of two summands fails.

step 2.2L1L6L7
4.1

Claims 1, 2, 3 and 4 are steps 2.1, 2.3, 2.2 and 3.1: the two planes have sum F3 and intersection span⁡{e1}, and the sum is not direct.

step 2.1step 2.2step 2.3step 3.1∎

Remarks

  • A sum can be everything without being direct. Condition (D1) holds here and (D2) fails, and the two are independent: the failure is exactly the nonzero overlap span⁡{e1}. Concretely, e1 decomposes in more than one way, for instance as e1+0V with e1∈U and as 0V+e1 with e1∈W.

  • The intersection did not have to be computed by hand to know it is a subspace, since intersections of linear subspaces always are (The intersection of a nonempty family of linear subspaces of V is a linear subspace of V). What the computation adds is the identification of that subspace as span⁡{e1}, which is the point of the example.

  • Everything here is over an arbitrary field. No order, no square roots and no counting are used; the only field facts needed are 1F≠0F and the identity laws.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

38 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources